216 citations · 802 across the 61 of their papers we have counts for
11 papers · 1 filter
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning
Guangyu Sun, Zhang Liu, Lianggong Wen +2
Video anomaly detection aims to identify abnormal events that occurred in videos. Since anomalous events are relatively rare, it is not feasible to collect a balanced dataset and t…
SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing
Jing Shi, Ning Xu, Haitian Zheng +3
Recently, large pretrained models (e.g., BERT, StyleGAN, CLIP) have shown great knowledge transfer and generalization capability on various downstream tasks within their domains. I…
Space-Time Memory Network for Sounding Object Localization in Videos
Sizhe Li, Yapeng Tian, Chenliang Xu
Leveraging temporal synchronization and association within sight and sound is an essential step towards robust localization of sounding objects. To this end, we propose a space-tim…
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning
Jing Bi, Jiebo Luo, Chenliang Xu
Learning new skills by observing humans' behaviors is an essential capability of AI. In this work, we leverage instructional videos to study humans' decision-making processes, focu…
Learning to Generate Scene Graph from Natural Language Supervision
Yiwu Zhong, Jing Shi, Jianwei Yang +2
Learning from image-text data has demonstrated recent success for many recognition tasks, yet is currently limited to visual features or individual visual concepts such as objects.…
Learning by Planning: Language-Guided Global Image Editing
Jing Shi, Ning Xu, Yihang Xu +3
Recently, language-guided global image editing draws increasing attention with growing application potentials. However, previous GAN-based methods are not only confined to domain-s…
Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
Xiaoyu Xiang, Yapeng Tian, Yulun Zhang +3
In this paper, we address the space-time video super-resolution, which aims at generating a high-resolution (HR) slow-motion video from a low-resolution (LR) and low frame rate (LF…
Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation
Yapeng Tian, Di Hu, Chenliang Xu
There are rich synchronized audio and visual events in our daily life. Inside the events, audio scenes are associated with the corresponding visual objects; meanwhile, sounding obj…
Can audio-visual integration strengthen robustness under multimodal attacks?
Yapeng Tian, Chenliang Xu
In this paper, we propose to make a systematic study on machines multisensory perception under attacks. We use the audio-visual event recognition task against multimodal adversaria…
Discover the Unknown Biased Attribute of an Image Classifier
Zhiheng Li, Chenliang Xu
Recent works find that AI algorithms learn biases from data. Therefore, it is urgent and vital to identify biases in AI algorithms. However, the previous bias identification pipeli…
High-fidelity Face Tracking for AR/VR via Deep Lighting Adaptation
Lele Chen, Chen Cao, Fernando De la Torre +3
3D video avatars can empower virtual communications by providing compression, privacy, entertainment, and a sense of presence in AR/VR. Best 3D photo-realistic AR/VR avatars driven…